Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,301 to 3,310 of 202,937 articles

EXPRESS: Transcriptome profiling and experimental validation identify FOS, RAC2, and TYROBP as potential biomarkers for Fu's subcutaneous needling in neuropathic pain treatment.

Molecular pain
BACKGROUND: This study aimed to explore potential biomarkers and mechanisms underlying in the treatment of neuropathic pain(NP) with Fu's subcutaneous needling(FSN), employing a transcriptomics approach. METHODS: In this study, RNA sequencing was per... read more 

Integrating van't Hoff Equation with Artificial Neural Network for the Prediction of H2S Solubility in Ionic Liquids.

The journal of physical chemistry. B
Accelerating the discovery of high-performance ionic liquids (ILs) for hydrogen sulfide (H2S) capture is hindered by the prohibitive cost of experimental screening and the limited generalization capability of purely data-driven machine learning model... read more 

Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.

Journal of medical Internet research
BACKGROUND: Vision-enabled large language models (VE-LLMs) have the potential to provide flexible and explainable medical image interpretation. However, their real-world performance on clinical data, such as 12-lead electrocardiograms (ECGs), has not... read more 

Computational modelling of cell identity.

The Biochemical journal
Deciphering cell identity remains a central challenge in biology, as experimental profiling can only capture a fraction of the molecular diversity across human cell states. Computational modelling fills this gap by offering scalable predictions beyon... read more 

Visual cues and strategies for perceiving elasticity.

Proceedings. Biological sciences
A key to interacting with the physical world is the ability to visually infer object properties, like elasticity, allowing us to anticipate object behaviour. Such perceptual inferences continue to challenge artificial intelligence systems, highlighti... read more 

Deep learning insights into β-lactamase dynamics and resistance evolution.

The Biochemical journal
The rapid global expansion of β-lactamase-mediated antimicrobial resistance demands mechanistic approaches capable of resolving the dynamics of enzyme adaptation. Although β-lactamase evolution often involves subtle rearrangements rather than large s... read more 

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18F-FDG Images and Evaluation for Clinical Use.

Journal of nuclear medicine technology
The use of amyloid PET to assess patient suitability of disease-modifying drugs for Alzheimer disease is increasing. This study aimed to synthesize amyloid PET images from 18F-FDG PET images using a generative artificial intelligence algorithm to red... read more 

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Brain : a journal of neurology
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and pathological characteristics. Comparisons of clinical and biomarker features within the ALS and behav... read more 

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition.

American journal of epidemiology
Machine learning is increasingly used to estimate nuisance functions in causal inference. The efficient influence function (EIF) offers a principled way to construct estimators that can incorporate machine learning with valid inference (eg, estimate ... read more 

Long-term exposure to wildfire smoke particulate matter and incident stroke: a US nationwide study.

European heart journal
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high fine particulate matter (PM2.5) concentrations. While short-term exposure has been linked to adverse cardiovascular outcomes, long-term effects remai... read more